Name
Abstract | ||
|---|---|---|
There are a variety of methods about domain ontology building, one of which is namely skeleton law, it provides a full process of ontology building and methodology frame, it is the most reference in all methods. This paper introduces firstly skeleton law, and then points out its advantages and disadvantages. The purpose of this paper achieves a specific way to build domain ontology. The method in this paper makes use of correlative technology of Data Warehouse and Data Mining, which is mainly technology of Decision Tree. The method which is used to build ontology provides with good virtues as follow: the steps are simple and cleared, it produces a good classification, it can produce a good predictability and make if easy to carry out documentation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/SSME.2009.23 | SSME |
Keywords | Field | DocType |
correlative technology,good predictability,ontology building,domain ontology,data mining,good virtue,vehicle ontology building,domain ontology building,data warehouse,firstly skeleton law,good classification,decision tree,decision trees,documentation,automotive engineering,ontologies,skeleton,data warehouses,domain | Ontology (information science),Data warehouse,Correlative,Decision tree,Ontology,Ontology-based data integration,Data mining,Process ontology,Computer science,Documentation | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingxian Ma | 1 | 8 | 2.26 |
| Aixia Wang | 2 | 3 | 1.73 |
| Shouning Qu | 3 | 39 | 6.72 |